Evidence map›Paper›PMID 30905898›Full record

ArticleJournal of epidemiology2020

Associations of Circulating MicroRNAs (miR-17, miR-21, and miR-150) and Chronic Kidney Disease in a Japanese Population.

Ryosuke Fujii, Hiroya Yamada, Eiji Munetsuna, Mirai Yamazaki, Koji Ohashi, Hiroaki Ishikawa, Keisuke Maeda, Chiharu Hagiwara, Yoshitaka Ando, Shuji Hashimoto and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of epidemiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
0.8field-weighted citation impact, top 35% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Review
  6. Review
  7. Review
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Epigenetics in kidney diseases.Advances in clinical chemistry · 2021
    Review
  14. Article
  15. Article
  16. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 2 institutions in 1 country.

Ryosuke FujiiDepartment of Preventive Medical Sciences, Fujita Health University School of Health Sciences.ORCID http://orcid.org/0000-0003-1730-2059
Hiroya YamadaDepartment of Hygiene, Fujita Health University School of Medicine.
Eiji MunetsunaDepartment of Biochemistry, Fujita Health University School of Medicine.
Mirai YamazakiDepartment of Clinical Biochemistry, Fujita Health University School of Health Sciences.
Koji OhashiDepartment of Clinical Biochemistry, Fujita Health University School of Health Sciences.
Hiroaki IshikawaDepartment of Clinical Biochemistry, Fujita Health University School of Health Sciences.
Keisuke MaedaDepartment of Preventive Medical Sciences, Fujita Health University School of Health Sciences.
Chiharu HagiwaraDepartment of Preventive Medical Sciences, Fujita Health University School of Health Sciences.
Yoshitaka AndoDepartment of Clinical Biochemistry, Fujita Health University School of Health Sciences.
Shuji HashimotoDepartment of Hygiene, Fujita Health University School of Medicine.ORCID http://orcid.org/0000-0003-2080-7795
Nobuyuki HamajimaDepartment of Healthcare Administration, Nagoya University Graduate School of Medicine.
Koji SuzukiDepartment of Preventive Medical Sciences, Fujita Health University School of Health Sciences.ORCID http://orcid.org/0000-0002-3235-9558
Fujita Health University · JPNagoya University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMicroRNAs (miRNAs) play crucial roles in the development of various diseases, including chronic kidney disease (CKD). Although previous studies in clinically severe patients have investigated associations between CKD and miRNAs, with particular attention on renal fibrosis, relationships in a general population have yet to be established. The aim of this study was to examine the relationship between expression level of circulating miRNAs and CKD in a middle-aged Japanese population.

methodsA final total of 513 individuals (216 men and 297 women) who participated in the health check-up program in 2012 were included in our analysis. Quantitative real-time polymerase chain reaction was used to determine expression levels of 22 miRNAs. Estimated glomerular filtration rate (eGFR) was calculated based on serum creatinine level, sex, and age. Participants with eGFR <60 mL/min/1.73 m

resultsThree different miRNAs (miR-17, miR-21, and miR-150) showed significant correlations with eGFR after Bonferroni correction and were selected for further analyses. Expression levels of miR-17, miR-21, and miR-150 miRNAs were positively associated with eGFR after adjusting for potential confounders (P = 0.004, 0.002, and 0.004, respectively). Logistic regression analyses showed significantly lower odds ratios for CKD (eGFR <60 mL/min/1.73 m

conclusionsWe found that three circulating miRNAs were significantly associated with CKD in a general Japanese population, which suggested that these miRNAs may be biomarkers for CKD among general adults.

Indexed as

AgedAsian PeopleBiomarkersCirculating MicroRNACreatinineCross-Sectional StudiesEpigenomicsFemaleGlomerular Filtration RateHumansJapanKidneyMaleMicroRNAsMiddle AgedMolecular EpidemiologyBiomarkersCirculating MicroRNACreatinineMicroRNAsMIR150, humanMIRN17 microRNA, humanMIRN21 microRNA, humanchronic kidney diseasecross-sectional studyepigeneticsmicroRNAmolecular epidemiology

Identifiers

PMID30905898
PMCPMC7064557
OpenAlexW2944919517

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.